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О Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

О специализации ''Data Engineering on Google Cloud Platform'

>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
***COMPLETION CHALLENGE; receive a GCP t-shirt, see more below.***
This five-week specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning.
This course teaches the following skills:
• Design and build data processing systems on Google Cloud Platform
• Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
• Derive business insights from extremely large datasets using Google BigQuery
• Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
• Enable instant insights from streaming data
This class is intended for developers who are responsible for:
• Extracting, Loading, Transforming, cleaning, and validating data
• Designing pipelines and architectures for data processing
• Creating and maintaining machine learning and statistical models
• Querying datasets, visualizing query results and creating reports
COMPLETION CHALLENGE-Complete any GCP specialization from Oct 23 - Nov 30, 2018 to participate. Check Discussion Forums for full details....

• Knowledge of BigQuery and Dataflow to the level of "Serverless Data Analysis with Google BigQuery and Cloud Dataflow" on Coursera

• Knowledge of Python and familiarity with the numpy package

• Knowledge of undergraduate-level statistics to the level of a Basic Statistics course on Coursera

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Am I eligible for the Google Cloud Platform free trial?

To be eligible for the free trial, you will need:

- Google account (Google is currently blocked in China)

- Credit card or bank account

- Terms of service

Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602

For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/

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What if I have already used up my Google Cloud Platform free trial?

If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.

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How does the free trial work?

View this page for more details: https://cloud.google.com/free-trial/docs/

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Is this course similar to CPB102?

Yes, this online course is based on the instructor-led training formerly known as CPB102.

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Does this course relate to the Google Certified Professional Data Engineer certification?

The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

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What is a Google certification?

Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/